Successful Case:
MVP Computer Vision System for Automation of Thermoplastic Automatic Machines

Molds of injection molding machines are a product, which in terms of technical requirements can be compared with units and mechanisms of space technology. They are, in essence, the basis of the machine, and the accuracy of their production is measured in microns. In most cases, they have a complex three-dimensional geometric shape and are made of particularly hard metals and alloys, which is why they are so expensive and difficult to produce.

Each injection molding machine is equipped with at least one, but sometimes several molds. The number of molds varies depending on the product range and the company’s production plans.

The purchase of a new mold for a specific injection molding machine and a specific product requires considerable funds even on the scale of a large enterprise.

By installing the system of automatic control of molds and working areas developed by us, the company gets an increase in the life of molds, ensures uninterrupted operation of production, reduces the number of possible defects, thus significantly reducing production costs.

As part of the MVP implementation, a state-of-the-art computer vision and machine learning system was used at that time. Together with the hardware, the proposed system represents a complete and complete solution for controlling the production cycle of a thermoplastic automatic machine. Compared to a small number of competitors, the proposed solution relies on the latest advances in artificial intelligence. Whereas similar solutions use comparison with a static reference image. The use of machine learning technologies in the project allows to control the production process with great accuracy. Also the key feature of the proposed solution is its universality and lack of attachment to a specific model of thermoplastic automatic machine.

The main task of the MVP development was to control the correctness of the stages of the mold casting cycle. The most interesting from the point of view of the production process is the phase after mold opening. Since incorrect completion of this phase entails complete or partial failure of the mold for casting, which entails serious economic consequences for the company.

The correct end of this phase is the absence of any unnecessary details on the form. The presence of unnecessary elements can be checked by capturing the image at the moment after opening the form and analyzing the obtained image using machine learning methods. In this case, a binary classification problem is solved, the two classes in which are correct phase completion and incorrect phase completion. The K-Nearest Neighbours method has been proposed to be used for classification. This method is computationally efficient, which allows the use of compact computing boards and not to implement a multi-component architecture consisting of separate cameras, computing centers and data transmission network. Thus, the proposed solution to the problem of controlling the correctness of injection molding machine phase termination is based on a computationally efficient machine learning algorithm, which allows designing a solution in a single package.

Based on the results, the prototype system was successfully developed and further developed in real production.

Problems Solved by the Project

Time Management
Helps users to effectively manage their time by providing a platform to track and organize their tasks.
Overwhelmed Schedules
Users can better prioritize their tasks and avoid feeling overwhelmed by their busy schedules.
Users can reduce the stress associated with missed deadlines and uncompleted tasks.
Organization and Consistency
The project helps users to maintain organization in their tasks and ensures consistency in their productivity levels.
Accountability and Motivation
The application provides users with a sense of accountability as they can track their progress and stay motivated to complete their tasks.

Target Audience


Remote Workers



Small Business Owners

Features and Advantages

These features and advantages make the task management application a valuable tool for individuals and teams seeking to improve their productivity and efficiency in their daily tasks.
User-Friendly Interface
The application has a simple and intuitive design, making it easy for users to navigate and use the platform.
Task Creation and Priority Setting
Users can create new tasks, set priorities, and assign deadlines to ensure that their tasks are completed on time.
Reminders and Notifications
The application offers reminders and notifications to help users stay on top of their tasks and avoid missing deadlines.
Collaboration and Sharing
Users can collaborate with others, sharing tasks within a team or group, which promotes better communication and coordination.
Statistics Tracking
The app provides insightful statistics and visualizations, enabling users to track their productivity levels and identify areas for improvement.
Secure Data Storage
The project ensures the security and confidentiality of user data, giving users peace of mind that their information is protected.
Accessibility and Flexibility
The application is available on mobile devices, allowing users to access and manage their tasks anywhere, anytime. It also offers customization options to suit individual preferences and needs.
Free and User-Friendly
The application is available for free, making it accessible to a wide range of users and offers a seamless and hassle-free user experience.
Integration with Other Tools
The application can integrate with other productivity tools and software, allowing users to further enhance their productivity and streamline their work processes.

How It Works

The app's user-friendly interface and powerful features make it a valuable tool for individuals and teams alike, helping them stay organized and efficient in their daily tasks and projects.

Use in Everyday Life

Current Achievements and Future Plans

TaskMaster has been successfully developed and is being used by businesses and individuals to manage their tasks and projects.
The platform has been constantly improving, with new features and updates being added regularly.
The team has been working on enhancing the user experience and making the platform more intuitive and user-friendly.
Expanding the reach of TaskMaster to more industries and markets.
Improving the automation capabilities of the platform to streamline task management and enhance productivity.
Integrating with other technologies and tools to provide a seamless experience for users.
Continuously updating and adding new features to stay ahead of the competition.

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